Senior Infrastructure Engineer – AWS, Terraform & GitOps

Sage Recruiting Inc.; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Sage Recruiting Inc. on behalf of a confidential client is seeking an Infrastructure Engineer to own deployment, automation, and reliability across the AWS environment. You will work hands-on with infrastructure as code, CI/CD pipelines, and containerized workloads under senior technical leadership.

The role emphasizes automating operations, enabling fast deployment, and maintaining secure, scalable cloud infrastructure for AI workloads with Kubernetes (EKS) and GitOps practices.

Qualifications

• 3+ years in infrastructure, DevOps, or cloud engineering with production AWS experience.
• Experience designing and maintaining IaC with Terraform/Terragrunt.
• Hands-on with CI/CD pipelines, GitHub Actions, ArgoCD, and Kubernetes (EKS).
• Strong networking, IAM, and cloud security practices; observability tooling.

Responsibilities

• Deploy and maintain scalable AWS infrastructure across VPCs, IAM, ECS/EKS, RDS, S3, and Route53.
• Build modular Terragrunt modules with environment segregation and remote state management.
• Design and maintain CI/CD pipelines in GitHub Actions and automate provisioning.
• Implement GitOps using ArgoCD and manage Kubernetes deployments (EKS preferred).
• Support AI workloads with secure LLM integrations and cost monitoring.
• Integrate infrastructure alerts and Slack notifications; manage SSO via Google Workspace.

Skills

AWS

Kubernetes

Docker

GitHub Actions

ArgoCD

Terraform

Terragrunt

CI/CD

GitOps

Networking

IAM/Security

Python

Bash

Go

Tools

Terraform

Terragrunt

GitHub Actions

ArgoCD

Kubernetes (EKS)

Docker

Job description

Sage Recruiting Inc. on behalf of a confidential client is seeking an Infrastructure Engineer to own deployment, automation, and reliability across the AWS environment. You will work hands-on with infrastructure as code, CI/CD pipelines, and containerized workloads under senior technical leadership.

The role emphasizes automating operations, enabling fast deployment, and maintaining secure, scalable cloud infrastructure for AI workloads with Kubernetes (EKS) and GitOps practices.